CFD and Neural Network-based Predicting for Oil Delivery Performance of Oil Pump in Engines
Oil delivery pefromance of oil pump in engines are investigated by a new prediction method based on computational fluid dynamic (CFD) and artificial neural network (ANN).CFD analysis was done by using Fluent commercial code and distribution of velocity of pumps internal flow field was achieved by the solving of pumps CFD model.Infromation data about oil pumps rotate speed,supplying pressure,oil temperature and oil flow rate were obtained by CFD simulation analyzing.ANN model that used to describe the delivery performance of oil pump was employed,and the model was trained by learning samples from those CFD simulation results.Predicting for the delivery performance of oil pump under various operating conditions were carried out by this model.Experimental results were also used to validate the obtained simulation results.The studies show that the ANN(trained by CFD learning samples) predictions are in very close agreement with the oil flow obtained experimentally or predicted by CFD.The method introduced here can give useful supports for optimization designing of oil pumps dimension.
Delivery performance Oil pump Computational fluid dynamic Artificial neural network
Baohong Tong Jun Yin Yin Liu
School of Mechanical Engineering,Anhui University of Technology, Maanshan,Anhui,243002,China
国际会议
重庆
英文
784-788
2011-06-23（万方平台首次上网日期，不代表论文的发表时间）